GitHub topics: hdbscan-clustering-algorithm

Repositories

gagolews/quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

Language: C++ - Size: 25.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

HostServer001/jee_mains_pyqs_data_base

Tool to access and manage 14k+ jee main pyqs with semantic clustering

Language: Python - Size: 64.4 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

MartinTschechne/ASL-hdbscan

An optimized C/C++ implementation of the HDBSCAN algorithm for the course Advanced Systems Lab.

Language: C++ - Size: 23.7 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

mbari-org/sdcat

Sliced Detection and Clustering Analysis Toolkit

Language: Python - Size: 33.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

DanteTrb/ParkinsonBiomech_XAI_GAN

Discovering biomechanical phenotypes in Parkinson’s disease using GANs and explainable AI

Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bakraamm/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

This repository explores machine learning applications in HR, Sales, Marketing, and PR to improve decision-making. It features models for predicting employee turnover, forecasting sales trends, and customer segmentation. 🐙📊

Language: Jupyter Notebook - Size: 4.83 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

MadhukarSaiBabu/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Language: Python - Size: 5.94 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 257 - Forks: 63

aidendorian/Spotify-Song-Recommendation

Recommends songs from dataset of 232K songs from Spotify. Uses HDBSCAN and Siamese Network. An ML Project

Language: Python - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

marthadais/TrajectoriesCompressionAnalysis

The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.

Language: Python - Size: 4.69 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 2

NehaPant14/Density-based-clustering

Density based clustering

Language: Jupyter Notebook - Size: 459 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

brijeshhere/Unsupervised-Learning-Cluster-Streamlit-Dashboard

By utilizing various features, the Project assists the organization in categorizing countries and determining which country the NGO should allocate funds to.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

edo-pasto/Parallel-Flexible-Clustering

The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.

Language: Python - Size: 5.81 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0